A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

Simultaneous Fault Detection Algorithm for Grid-Connected Photovoltaic Plants

In this work, we present a new algorithm for detecting faults in grid connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed in the analysis of PV measured data. The main focus of this paper is, therefore, to outline a PV fault detection algorithm that can diagnose faults on the DC-side of the examined GCPV system based on the t-test statistical analysi...

Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines

passivity in waiting for godot and endgame: a psychoanalytic reading

this study intends to investigate samuel beckett’s waiting for godot and endgame under the lacanian psychoanalysis. it begins by explaining the most important concepts of lacanian psychoanalysis. the beckettian characters are studied regarding their state of unconscious, and not the state of consciousness as is common in most beckett studies. according to lacan, language plays the sole role in ...

Fault detection in photovoltaic systems

This master’s thesis concerns three different areas in the field of fault detection in photovoltaic systems. Previous studies have concerned homogeneous systems with a large set of parameters being observed, while this study is focused on a more restrictive case. The first problem is to discover immediate faults occurring in solar panels. A new online algorithm is developed based on similarity ...